1Every individual/element is given equal chance to form part of the sample
Simple random sampling
2Type 1 error?
Occurs when H0 is true, and we reject H0
3s
sample standard deviation
4What is the condition for "large sample" in central limit theorem?
Sample size is large, n is greater than or equal to 25
5Type 2 error?
Occurs when H0 is false, and we do not reject H0
6What is the condition for "big population" in central limit theorem?
The population must be at least 10 times larger than sample size.
7When do we reject the null?
when p is less than 0.05
8What does n stand for?
sample size
9what does N stand for
population size
10What 2 numbers is proportion between?
0-1
11what does this symbol mean p̂?
sample proportion
12What does state the hypothesis mean?
μ=# and μ<#
13σ/√n
formula for standard error
14Dividing the sampling frame into distinct groups of individuals and then taking a separate simple random sample (SRS) and combining these to form the sample.
Stratified random sampling
15A random sample of clusters (distinct groups) are selected and then all individuals in the SRS of clusters form our sample.
Cluster sampling
16Using a formula selecting every e.g. selecting every kth element/object/subject.
Systemic sampling
17Drawing from a population due to it being close to hand
Convenience sampling
18σ
population standard deviation
20Type of sampling made up of volunteers
Voluntary response sampling